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Barriers to implementing QbD are primarily associated with the short-term costs associated with increased process testing. Simulation tools are a more attractive option because the cost of computer modeling does not scale linearly with the number of process parameters analyzed.
Computational fluid dynamics (CFD) tools are already widely utilized to gain insight into the hydrodynamic and mass transfer environment in mixing tanks and other unit operations. The current situation is such that simulations tend to focus on a single design point and/or a small range of process parameters. The primary goal of this webinar is to show how single-point simulation studies can be readily extended to explore the engineering design space of a process by coupling CFD to statistical tools.
Using a prototypical fermentation process as an example, we will demonstrate the ability of the ANSYS Workbench platform to conduct multivariate analysis with a high degree of automation in all phases of the problem. The results will illustrate how CFD coupled with statistical methods can elucidate the interdependencies between critical process parameters and process performance, thus establishing a roadmap for using simulation as an additional tool in the QbD toolkit.
Join us for this free one-hour webinar and see how our users are benefiting from the insight that computer simulation offers.
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